Reconstructing exposures from biomarkers using exposure-pharmacokinetic modeling - A case study with carbaryl

Regulatory Toxicology and Pharmacology

Volumn 73, Issue 3, 2015, Pages 689-698

  Brown, Kathleen ^a   Phillips, Martin ^b   Grulke, Christopher ^c   Yoon, Miyoung ^d   Young, Bruce ^e   McDougall, Robin ^f   Leonard, Jeremy ^g   Lu, Jingtao ^g   Lefew, William ^h   Tan, Yu Mei ^a  

^a U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

^b MINNESOTA DEPARTMENT OF HEALTH   (United States)

^c LOCKHEED MARTIN   (United States)

^d HAMNER INSTITUTES FOR HEALTH SCIENCES   (United States)

^e BAYER CROPSCIENCE   (United States)

^f ASTRAZENECA   (United Kingdom)

^g OAK RIDGE INSTITUTE FOR SCIENCE AND EDUCATION   (United States)

^h Meemir Consulting   (United States)

Author keywords

Biomarker interpretation; Carbaryl; CARES; Discretized Bayesian; Exposure conversion factor; Exposure reconstruction; Markov Chain Monte Carlo; Pharmacokinetic modeling; Physiologically based pharmacokinetic model; Population based biomonitoring

Indexed keywords

BIOLOGICAL MARKER; CARBARIL; INSECTICIDE; WATER POLLUTANT;

ARTICLE; CASE STUDY; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; DOSIMETRY; EXPOSURE; MATHEMATICAL MODEL; PHARMACOKINETIC ASSAY; PRIORITY JOURNAL; SIMULATION; URINALYSIS; URINE FLOW RATE; ADVERSE EFFECTS; BAYES THEOREM; BIOLOGICAL MODEL; COMPUTER SIMULATION; DIET; DOSE RESPONSE; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL MONITORING; FOOD CONTAMINATION; HALF LIFE TIME; HUMAN; MARKOV CHAIN; MONTE CARLO METHOD; PHARMACOKINETICS; PROCEDURES; RISK ASSESSMENT; URINE; WATER POLLUTANT; WATER POLLUTION; WATER QUALITY;

BAYES THEOREM; BIOMARKERS; CARBARYL; COMPUTER SIMULATION; DIET; DOSE-RESPONSE RELATIONSHIP, DRUG; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL MONITORING; FOOD CONTAMINATION; HALF-LIFE; HUMANS; INSECTICIDES; MARKOV CHAINS; MODELS, BIOLOGICAL; MONTE CARLO METHOD; RISK ASSESSMENT; URINALYSIS; WATER POLLUTANTS, CHEMICAL; WATER POLLUTION, CHEMICAL; WATER QUALITY;

EID: 84946573349     PISSN: 02732300     EISSN: 10960295     Source Type: Journal    
DOI: 10.1016/j.yrtph.2015.10.031     Document Type: Article

References (52)

1. Allen B.C., et al. Use of Markov Chain Monte Carlo analysis with a physiologically-based pharmacokinetic model of methylmercury to estimate exposures in U.S. women of childbearing age. Risk Anal. 2007, 27:947-959.
2. Aylward L.L., et al. Interpreting variability in population biomonitoring data: role of elimination kinetics. J. Expo. Sci. Environ. Epidemiol. 2012, 22:398-408.
3. Barraj L., et al. Within-day drinking water consumption patterns: results from a drinking water consumption survey. J. Expo. Sci. Environ. Epidemiol. 2009, 19:382-395.
4. Bartels M., et al. Development of PK- and PBPK-based modeling tools for derivation of biomonitoring guidance values. Comput. Methods Programs Biomed. 2012, 108:773-788.
5. Bois F.Y. Statistical analysis of Clewell et al. PBPK model of trichloroethylene kinetics. Environ. Health Perspect. 2000, 108:307-316.
6. CDC Centers for Disease Control and Prevention, (2009, July 13), National Environmental Public Health Tracking, Environmental Public Health Tracking & Biomonitoring 2009, Retrieved from. http://www.cdc.gov/nceh/tracking/trackbiomon.htm.
7. CDC Centers for Disease Control and Prevention. (2009, July 1), National Health and Nutrition Survey, 2003-2004 Laboratory Data, Polyaromatic Hydrocarbons 2009, Retrieved from. http://wwwn.cdc.gov/nchs/nhanes/2003-2004/L31PAH_C.htm.
8. CDC Centers for Disease Control and Prevention, National Health and Nutrition Survey, 2009-2010 Laboratory Data, Urine Flow Rate 2011, Retrieved from. http://www.cdc.gov/nchs/nhanes/nhanes2009-2010/UCFLOW_F.htm.
9. Clewell H.J., et al. Quantitative interpretation of human biomonitoring data. Toxicol. Appl. Pharmacol. 2008, 231:122-133.
10. Crop-Life-America Cumulative and Aggregate Risk Evaluation System, Technical Manual 2002, Retrieved from. http://www.epa.gov/scipoly/sap/meetings/2002/april/cares/cares_documentation/tmanual2.pdf.
11. Ellison C.A., et al. Use of Cytochrome P450-specific Parameters and Human Biomarker Data to Develop a Human Physiologically Based Pharmacokinetic/Pharmacodynamic Model for Dermal Chlorpyrifos Exposure. Parameters for Pesticide QSAR and PBPK/PD Models for Human Risk Assessment 2012, vol. 1099:309-322. American Chemical Society.
12. Feldmann R.J., Maibach H.I. Percutaneous penetration of some pesticides and herbicides in man. Toxicol. Appl. Pharmacol. 1974, 28:126-132.
13. Georgopoulos P.G., et al. Reconstructing population exposures to environmental chemicals from biomarkers: challenges and opportunities. J. Expo. Sci. Environ. Epidemiol. 2009, 19:149-171.
14. Georgopoulos P.G.R.,A., Gallo M.A. Reconstruction of short-term multi-route exposure to volatile organic compounds using physiologically based pharmacokinetic models. J. Expo. Anal. Environ. Epidemiol. 1994, 4:309-328.
15. Grulke C.M., et al. PROcEED: probabilistic reverse dosimetry approaches for estimating exposure distributions. Bioinformation 2013, 9:707-709.
16. Hinderliter P.M., et al. Development of a source-to-outcome model for dietary exposures to insecticide residues: an example using chlorpyrifos. Regul. Toxicol. Pharmacol. 2011, 61:82-92.
17. Howard P.H. Handbook of Environmental Fate and Exposure Data for Organic Chemicals 1991, CRC Press, Boca Raton, FL.
18. ILSI Cumulative and Aggregate Risk Evaluation System (CARES) Version 3.0 2009.
19. Parameters for Pesticide QSAR and PBPK/PD Models for Human Risk Assessment 2012, American Chemical Society. B. Knaak James (Ed.).
20. Knaak J.B. The metabolism of carbaryl in man, monkey, pig, and sheep. J. Agric. Food Chem. 1968, 16:465-470.
21. Lakind J.S., Naiman D.Q. Bisphenol A (BPA) daily intakes in the United States: estimates from the 2003-2004 NHANES urinary BPA data. J. Expo. Sci. Environ. Epidemiol. 2008, 18:608-615.
22. LaKind J.S., et al. A proposal for assessing study quality: biomonitoring, environmental epidemiology, and short-lived chemicals (BEES-C) instrument. Environ. Int. 2014, 73:195-207.
23. Liao K.H., et al. Development of a screening approach to interpret human biomonitoring data on volatile organic compounds: reverse dosimetry on biomonitoring data for trichloroethylene. Risk Anal. 2007, 27:1223-1236.
24. Lorber M. Use of a simple pharmacokinetic model to characterize exposure to perchlorate. J. Expo. Sci. Environ. Epidemiol. 2009, 19:260-273.
25. Lorber M., et al. A critical evaluation of the creatinine correction approach: can it underestimate intakes of phthalates? a case study with di-2-ethylhexyl phthalate. J. Expo. Sci. Environ. Epidemiol. 2011, 21:576-586.
26. Lu C., Andres L. Reconstructing organophosphorus pesticide doses using the reversed dosimetry approach in a simple physiologically-based pharmacokinetic model. J. Toxicol. 2012, 2012:8.
27. May D.G., et al. Cimetidine-carbaryl interaction in humans: evidence for an active metabolite of carbaryl. J. Pharmacol. Exp. Ther. 1992, 262:1057-1061.
28. McNally K., et al. Reconstruction of exposure to m-Xylene from human biomonitoring data using PBPK modelling, Bayesian inference, and Markov Chain Monte Carlo simulation. J. Toxicol. 2012, 2012:18.
29. Meeker J.D., et al. Utility of urinary 1-naphthol and 2-naphthol levels to assess environmental carbaryl and naphthalene exposure in an epidemiology study. J. Expo. Sci. Environ. Epidemiol. 2007, 17:314-320.
30. Mosquin P.L., et al. Reconstructing exposures from small samples using physiologically based pharmacokinetic models and multiple biomarkers. J. Expo. Sci. Environ. Epidemiol. 2009, 19:284-297.
31. Nong A., et al. Bayesian calibration of a physiologically based pharmacokinetic/pharmacodynamic model of carbaryl cholinesterase inhibition. J. Toxicol. Environ. Health A 2008, 71:1363-1381.
32. NRC National Research Council, Human Biomonitoring for Environmental Chemicals. National Research Council Committee on Human Biomonitoring for Environmental Toxicants 2006, National Academies Press, Washington, DC.
33. NRC National Research Council, Exposure Science in the 21st Century: a Vision and a Strategy 2012, The National Academies Press, Washington, DC.
34. Payne-Sturges D., et al. Evaluating cumulative organophosphorus pesticide body burden of children: a national case study. Environ. Sci. Technol. 2009, 43:7924-7930.
35. Phillips M.B., et al. A new method for generating distributions of biomonitoring equivalents to support exposure assessment and prioritization. Regul. Toxicol. Pharmacol. 2014, 69:434-442.
36. Phillips M.B., et al. Analysis of biomarker utility using a PBPK/PD model for carbaryl. Front. Pharmacol. 2014, 5:246.
37. Pleil J.D., Sobus J.R. Estimating lifetime risk from spot biomarker data and intraclass correlation coefficients (ICC). J. Toxicol. Environ. Health A 2013, 76:747-766.
38. Price P.S., et al. Application of a source-to-outcome model for the assessment of health impacts from dietary exposures to insecticide residues. Regul. Toxicol. Pharmacol. 2011, 61:23-31.
39. Rao B., et al. Perchlorate production by photodecomposition of aqueous chlorine solutions. Environ. Sci. Technol. 2012, 46:11635-11643.
40. Roy A., Georgopoulos P.G. Reconstructing week-long exposures to volatile organic compounds using physiologically based pharmacokinetic models. J. Expo. Anal. Environ. Epidemiol. 1998, 8:407-422.
41. Sohn M.D., et al. Reconstructing population exposures from dose biomarkers: inhalation of trichloroethylene (TCE) as a case study. J. Expo. Anal. Environ. Epidemiol. 2004, 14:204-213.
42. Tan Y.-M., et al. Reverse dosimetry: interpreting trihalomethanes biomonitoring data using physiologically based pharmacokinetic modeling. J. Expo. Sci. Environ. Epidemiol. 2006, 17:591-603.
43. Tan Y.-M., et al. Use of a physiologically based pharmacokinetic model to identify exposures consistent with human biomonitoring data for chloroform. J. Toxicol. Environ. Health Part A 2006, 69:1727-1756.
44. Ulaszewska M.M., et al. Interpreting PCB levels in breast milk using a physiologically based pharmacokinetic model to reconstruct the dynamic exposure of Italian women. J. Expo. Sci. Environ. Epidemiol. 2012, 22:601-609.
45. USDA Agricultural Research Service Continuing Survey of Food Intakes by Individuals 1994-96, 1998. CD-ROM 2000, U.S. Department of Agriculture, National Technical Information Service Accession No. PB2000-500027. http://www.ars.usda.gov/Services/docs.htm?docid=14531.
46. USEPA A Model Comparison: Dietary (Food and Water) Exposure in DEEM/Calendex, CARES, and LifeLine 2004, USEPA, OPP, Report to SAP. http://www.epa.gov/scipoly/sap/meetings/2004/april/sapminutesapril2930.pdf.
47. USEPA Organophosphorus Cumulative Risk Assessment 2006 Update 2006, USEPA, OPP, July 31, 2006. http://www.epa.gov/pesticides/cumulative/2006-op/op_cra_main.pdf.
48. USEPA Triazine Cumulative Risk Assessment 2006, USEPA, OPP, June 21, 2006. http://www.epa.gov/pesticides/cumulative/common_mech_groups.htm#triazine.
49. USEPA Revised N-methyl Carbamate Cumulative Risk Assessment 2007, USEPA, OPP, September 24, 2007. http://www.epa.gov/pesticides/cumulative/carbamate_background.htm.
50. USEPA and USDA, 2000. U.S. Environmental Protection Agency (USEPA), Office of Pesticide Programs and U.S. Department of Agriculture (USDA), Agricultural Research Service (2000). Food Commodity Intake Database (FCID) Version 2.1. CD-ROM. National Technical Information Service, Accession No. PB2000-500101. http://www.ars.usda.gov/Services/docs.htm?docid=14514.
51. Yoon M., et al. Use of in vitro data in developing a physiologically based pharmacokinetic model: carbaryl as a case study. Toxicology 2015, 332:52-66.
52. Yoon M., et al. Use of in Vitro Data in PBPK Models: an Example of in Vitro to in Vivo Extrapolation with Carbaryl. Parameters for Pesticide QSAR and PBPK/PD Models for Human Risk Assessment 2012, vol. 1099:323-338. American Chemical Society.